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Friday

  3. Unite.AISelected

    Meta open-sources 816B-parameter multimodal model Muse Spark Open

    On October 15, Meta released the weights of Muse Spark Open, a natively multimodal open-source model with 816B total parameters, 42B activated parameters, and a 1M token context window, targeting coding and long-horizon agent tasks. The model uses a MoE Transformer plus Perception Encoder architecture, can be invoked through API platforms such as Baseten, Fireworks AI, and Groq, with weights downloadable from Hugging Face, Amazon SageMaker AI, Google Cloud Model Garden, and elsewhere; running the NVFP4 version locally requires at least 700GB of VRAM. Meta claims it is the first model of its class that can run on desktop, carried by two Mac Studios equipped with M5 Ultra paired with the MLX framework; the model card shows its Artificial Analysis Intelligence Index at 39, lower than GLM 5.3's 45 and Kimi K3's 44 in the table.

    On October 15, Meta released the weights of Muse Spark Open, a natively multimodal open-source model with 816B total parameters, 42B activated parameters, and a 1M token context window, targeting coding and long-horizon agent tasks. The model uses a MoE Transformer plus Perception Encoder architecture, can be invoked through API platforms such as Baseten, Fireworks AI, and Groq, with weights downloadable from Hugging Face, Amazon SageMaker AI, Google Cloud Model Garden, and elsewhere; running th

    Matched fieldsTitle、Summary、Body

    #hot-signal#Model releases#Multimodal#Open-source ecosystem
  4. The New StackSelected

    Meta releases 816B open-source model Muse Spark Open

    Meta releases Muse Spark Open, an open-weight model with 816B parameters and 42B activated parameters, using a 1 million token context window, callable via APIs such as Baseten, Fireworks AI, Groq, and OpenRouter, with weights downloadable from Hugging Face, Amazon SageMaker AI, Google Cloud Model Garden, and others. Meta says it targets coding and agent tasks and leads Kimi K3, GLM 5.3, and Qwen3.8 on agent and tool-calling benchmarks such as JobBench and MCP-Atlas, but trails on coding benchmarks such as Terminal-Bench 2.1 and DeepSWE 1.1. The model uses the Muse Model License; companies with annual revenue over $20 million must first notify Meta and sign a separate agreement to offer model services, and users must prominently label Built with Muse Spark Open in product interfaces.

    Meta releases Muse Spark Open, an open-weight model with 816B parameters and 42B activated parameters, using a 1 million token context window, callable via APIs such as Baseten, Fireworks AI, Groq, and OpenRouter, with weights downloadable from Hugging Face, Amazon SageMaker AI, Google Cloud Model Garden, and others. Meta says it targets coding and agent tasks and leads Kimi K3, GLM 5.3, and Qwen3.8 on agent and tool-calling benchmarks such as JobBench and MCP-Atlas, but trails on coding benchma

    Matched fieldsTitle、Summary、Body

    #hot-signal#Model releases#Open-source ecosystem#Reasoning
  7. MacRumors Apple IntelligenceSelected

    Meta releases Muse Spark Open, partnering with Apple to run on Mac Studio

    Meta releases Muse Spark Open, calling it the most capable US open-weight model to date, with 816B total parameters, 42B activated parameters, a 1 million token context window, and aimed at coding and agent tasks. The model was adapted for Mac Studio in partnership with Apple and can run on two 512GB M5 Ultra Mac Studios via the MLX framework; the 512GB Mac Studio is not yet on sale and is expected to launch later this month. Model weights can be downloaded from Hugging Face, Amazon SageMaker AI, Google Cloud Model Garden, and Microsoft Foundry Models, and can also be used via the APIs of Baseten, Fireworks AI, Groq, Modal, Nebius, OpenRouter, and Together AI; downloads are free under a license permitting limited commercial use.

    Meta releases Muse Spark Open, calling it the most capable US open-weight model to date, with 816B total parameters, 42B activated parameters, a 1 million token context window, and aimed at coding and agent tasks. The model was adapted for Mac Studio in partnership with Apple and can run on two 512GB M5 Ultra Mac Studios via the MLX framework; the 512GB Mac Studio is not yet on sale and is expected to launch later this month. Model weights can be downloaded from Hugging Face, Amazon SageMaker AI

    Matched fieldsTitle、Summary、Body

    #hot-signal#Model releases#Open-source ecosystem#English text is being prepared.

Thursday

Tuesday

  1. ZhidongxiSelected

    Meta releases frontier model series Muse Wonder, focused on personal and professional agent tasks

    Meta releases its first frontier model series Muse Wonder, including two models, Muse Wonder and Muse Wonder Full, focused on personal and professional agent tasks and introducing proactive memory and proactive focus capabilities. On DeepSWE 1.1 and SWE-Marathon tests, Muse Wonder Full scores higher than Claude Fable 5.1, GPT-6 Astra and Claude Opus 5.5; at the highest reasoning effort on the Artificial Analysis leaderboard, the two models' Intelligence Index scores are 52 and 56 respectively. Muse Wonder is priced at 4 USD per million input tokens and 20 USD per million output tokens; Muse Wonder Full is now available on the API platform and open to Muse Code subscribers.

    Meta releases its first frontier model series Muse Wonder, including two models, Muse Wonder and Muse Wonder Full, focused on personal and professional agent tasks and introducing proactive memory and proactive focus capabilities. On DeepSWE 1.1 and SWE-Marathon tests, Muse Wonder Full scores higher than Claude Fable 5.1, GPT-6 Astra and Claude Opus 5.5; at the highest reasoning effort on the Artificial Analysis leaderboard, the two models' Intelligence Index scores are 52 and 56 respectively. M

    Matched fieldsTitle、Summary、Body

    #hot-signal#Model releases#Agents#Multimodal

Wednesday